For years engineers have relied on encryption at rest and transit to help protect sensitive data. However, historically data needs to be decrypted to actually use it, which risks the potential exposure of the underlying data. Confidential computing is a computing paradigm that aims to protect data in use, not just data in transit or at rest. The goal of confidential computing is to provide a secure computing environment where sensitive data can be processed without the risk of exposure or compromise.
AWS Nitro Enclaves is a service provided by Amazon Web Services (AWS) that enables customers to create isolated compute environments within their Amazon Elastic Compute Cloud (EC2) instances. In a Nitro Enclave, the application code and data are encrypted and processed inside the enclave, ensuring that they are protected from both the hypervisor and the host operating system. This makes Nitro Enclaves ideal for workloads that require a high level of security, such as confidential computing, secure machine learning, and blockchain-based applications.
Arvind Rague, Principal Specialist in EC2 and Confidential Computing at AWS, joins the show to explain confidential computing, AWS Nitro Enclaves, and the use cases this technology unlocks.
In this episode, Manish Ahluwalia, the field CTO of Skyflow, discusses the technical aspects of data residency and the usage of a data privacy vault. He explains the concept of data residency and data localization.
W. Curtis Preston has been working in backup and disaster recovery for nearly 30 years and has written five books on the subject. He joins the show to discuss backup and recovery missteps, best practices, and how Druva, the SaaS-based backup and recovery platform helps businesses offload backup responsibility.
Liz Acosta, Developer Advocate at Skyflow, joins the show to explain secure multi-party computation (SMPC) and share her recent research into the subject. We begin by explaining the basic concept of SMPC and how it differs from traditional methods of computation.